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This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.

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DOI-USGS/dataRetrieval

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dataRetrieval

Retrieval functions for USGS and EPA hydrologic and water quality data. For tutorial information, see:

https://owi.usgs.gov/R/dataRetrieval.html

Package Status

Linux Windows Test Coverage USGS Status
travis Build status Coverage Status status

Current CRAN information:

Version Monthly Downloads Total Downloads
CRAN version

Research software impact:

Research software impact

Reporting bugs

Please consider reporting bugs and asking questions on the Issues page: https://github.com/USGS-R/dataRetrieval/issues

Follow @USGS_R on Twitter for updates on USGS R packages:

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Code of Conduct

We want to encourage a warm, welcoming, and safe environment for contributing to this project. See the code of conduct for more information.

Installation

To install the dataRetrieval package, you must be using R 3.0 or greater and run the following command:

install.packages("dataRetrieval")

To get inter-CRAN release updates, use the command:

install.packages("dataRetrieval",repos="https://owi.usgs.gov/R")

To get cutting-edge changes, install from GitHub using the devtools packages:

library(devtools)
install_github("USGS-R/dataRetrieval")

Disclaimer

This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy

Although this software program has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith.

This software is provided "AS IS."

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This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.

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